工科院校思想政治课教师职业倦怠探析

高校思想政治理论课是对大学生进行系统思想政治教育的主要渠道和主阵地。思政教师教育作用的发挥至为关键。但思政教师却弥漫着职业倦怠的气息。对教师自身、想政治理论课教学效果以及整个社会都产生负面的影响。现以工科院校思政教师为主体分析其职业倦怠的危害、成因,探讨预防及缓解对策。     

苏轼的"枯淡"论研究——兼论"东坡和陶诗"的文化史意义

苏轼对"平淡"风格的认识,主要体现在他对陶渊明诗歌"枯淡"美的批评上。"枯淡"风格的形成是一个"绚烂之极归于平淡"的过程,体现在陶渊明的诗歌中就是"质而实绮,癯而实腴"、"外枯而中膏,似淡而实美"的美学效果。从"枯淡"风格出发,苏轼发现了柳宗元、韦应物诗风与陶渊明"同源",并作出了"柳在韦上"的判断。苏轼还创作了大量的"和陶诗",这在中国古代文化史上具有重要的认识价值。     

我国出口信用保险与出口贸易动态关系研究--来自沿海经济圈省际面板数据的经验证据

利用沿海经济圈省际面板数据作为样本,使用面板向量自回归模型研究了出口信用保险与出口贸易的动态关系。研究发现：出口信用保险在短期内能促进出口贸易,长期内不具有持续效应;出口贸易提高出口信用保险需求水平的能力有限。两者呈现出非对等关系,出现这一现象的主要原因是保险费率垄断。     

问题意识与超越情怀

问题意识淡漠、运作性不强,是制约我国人文社会科学发展的突出问题。为突显问题意识,需要矫正体系本位意识、功利主宰导向和片面意识形态化。向问题意识转变,意味着在设问方式和应答方式两个方面都应有相应的转变。提倡问题意识,不能抱持急功近利的心态,而要张扬一种超越情怀,并在咨政与怡情、建构与解构、学者人格与多元追求之间保持必要的张力。     

试析民间金融风险与应对策略

作为一种自发式的融资方式,民间金融在规范化、公开化过程中,其风险灾害可能对社会的稳定、金融体系的安全以及国家宏观经济的调控产生负面影响;民间金融发展中的主要风险及权重排序依次为内在制度风险、借贷利率风险、借贷“条件风险”和国家“政策风险”,必须按照风险管理的要求,采用风险回避、降低、转移、留存等不同策略来加强风险应对。以促进民间金融的可持续发展。     

成都市农村居民现金收入影响因素实证分析

当前,面对国内外经济形势的新变化,中央政府把扩大内需作为改变我国经济增长方式和缓解国际压力的重要途径之一,而扩大内需就要提高农村居民的收入水平.为研究如何提高农村居民收入问题,从现金收入的角度,选取相关变量建立向量自回归模型,运用脉冲响应、方差分解等方法,对影响现金收入增速的因素进行了实证分析.结果发现：人均现金收入增速主要受人均工资性收入增速的影响,人均家庭收入增速次之,人均转移性和财产性收入增速最小.     

项目制研究的现状与新路径

项目制作为一种新的国家治理体制,在中国经济与社会发展中发挥着日益深广的影响力。文献考察发现,国内研究围绕五个主要议题展开,研究成果较集中于近六年内;国外研究也有一定基础。既有研究尚存在两方面突出问题：一是研究视角有缺失,偏重宏观层面和政府视角而忽视了基层村庄社会的回应;二是研究议题失均衡,对项目制负面效应发生机理和防范机制研究还很薄弱。“村庄回应”是项目制研究值得重视的一条新路径,以此路径切入,可探寻“项目进村”的实践逻辑与问题成因,是有利于找到优化基层治理格局、提升项目制实践成效并防范“项目进村”负面效应的有效方法。     

基于时频分析的裂纹转子碰摩故障特征研究

为研究转子系统耦合故障特性,采用有限元方法建立了含有横向裂纹、转静碰摩的非线性转子动力学模型。首先研究了不同转速下裂纹、碰摩单一故障下转子系统的振动响应,其次研究了两种故障耦合情况下系统的振动响应特征。采用波形图、FFT谱图、瞬时频率和Hilbert-Huang时频谱(HHS)相结合的方法对故障转子振动信号进行了分析。分析结果表明:运用多种时频分析相结合的方法可以较为全面地了解转子的故障特征,裂纹转子在1/5、1/3临界转速时会发生较为明显的5X、3X谐波,且裂纹的产生会导致响应幅值增大,从而引起更为严重的碰摩。      

Tweeting about emergency: A semantic network analysis of government organizations’ social media messaging during Hurricane Harvey

While social media like Twitter have been increasingly adopted by public-sector organizations, it remains less explored as to how government and emergency management (EM) organizations use these platforms to communicate with the public in response to emerging natural disasters. Extending the Situational Crisis Communication Theory (SCCT) to the realm of social media, this study examines the emerging semantic networks from 67 government and EM organizations’ official tweets during Hurricane Harvey over a three-week period. It identifies how multiple crisis response strategies—including instructing information, adjusting information, and bolstering—are constituted of different issues, actions, and organizational actors before, during, and immediately after the disaster event. Results suggest that government agencies use the strategy of instructing information predominantly before and during the disaster, whereas adjusting information and bolstering strategies are utilized more during post-disaster recovery. The study offers theoretical and practical implications of using a semantic network approach to studying organizational crisis responses.     

Missing item imputation for quality-of-life instruments with application to asthma quality-of-life questionnaires

There has been increasing use of quality-of-life (QoL) instruments in drug development. Missing item values often occur in QoL data. A common approach to solve this problem is to impute the missing values before scoring. Several imputation procedures, such as imputing with the most correlated item and imputing with a row/column model or an item response model, have been proposed. We examine these procedures using data from two clinical trials, in which the original asthma quality-of-life questionnaire (AQLQ) and the miniAQLQ were used. We propose two modifications to existing procedures: truncating the imputed values to eliminate outliers and using the proportional odds model as the item response model for imputation. We also propose a novel imputation method based on a semi-parametric beta regression so that the imputed value is always in the correct range and illustrate how this approach can easily be implemented in commonly used statistical software. To compare these approaches, we deleted 5% of item values in the data according to three different missingness mechanisms, imputed them using these approaches and compared the imputed values with the true values. Our comparison showed that the row/column-model-based imputation with truncation generally performed better, whereas our new approach had better performance under a number scenarios.